Unsupervised Feature Learning and Deep Learning

Andrew Ng

Course Description

Machine learning has seen numerous successes, but applying
learning algorithms today often means spending a long time
hand-engineering the input feature representation. This is true for
many problems in vision, audio, NLP, robotics, and other areas. In this course,
you'll learn about methods for unsupervised feature learning and deep learning,
which automatically learn a good representation of the input from unlabeled
data. You'll also pick up the "hands-on," practical skills and tricks-of-the-trade
needed to get these algorithms to work well.